Data Analyst

Data Analyst

Location: Toronto, ON

Onsite Flexibility: Hybrid — currently remote but will move to in-office expectation down the road; must be within commuting distance of the office for RTO (dates to be confirmed)

Contract Details

• Position Type: Contract
• Contract Duration: TBC at the offer stage
• Pay Rate: C$50.00–C$60.00 / Hour (CAD)
• Shift / Schedule: Monday–Friday, core business hours; overtime as needed
• Travel Requirements: Not required
• Conversion Possible: Yes — this role has the potential to convert into a full-time employee (FTE) role post-engagement

Job Summary

TheRisk Strategy, Governance & Enablement Data & Analytic Product (DAP) team is an innovative team that delivers data and analytics products across the Risk organization. We partner with business stakeholders to develop scalable analytics solutions, reporting capabilities, dashboards, automation processes, and insights that enable informed decision-making and improved risk management. We are seeking aSenior Data Analyst / Product Owner to support the end-to-end delivery, enhancement, and lifecycle management of data and analytics products. This hybrid role combines deep analytical expertise with product ownership responsibilities, requiring the successful candidate to translate business needs into data-driven solutions while driving product strategy, prioritization, stakeholder engagement, and Agile delivery. The successful candidate will work closely with Risk Management, business stakeholders, technology teams, and data engineering partners to define product roadmaps, gather and document requirements, prioritize delivery backlogs, and develop analytics solutions that create measurable business value. This role offers exposure to enterprise data initiatives, modern cloud technologies, risk management processes, and strategic transformation programs. This role also has the potential to convert into an FTE role post engagement.

Key Responsibilities

Product Ownership & Business Analysis

• Serve as Product Owner for analytics and reporting products, acting as the primary liaison between business stakeholders and delivery teams.
• Partner with Risk Management, Lines of Business, and Technology stakeholders to identify business needs, define product vision, and develop delivery roadmaps.
• Lead business discovery and requirements gathering sessions to understand current processes, pain points, and opportunities for optimization and automation.
• Translate business requirements into epics, features, user stories, acceptance criteria, and prioritized product backlogs.
• Define product objectives, success metrics, business outcomes, and value realization measures.
• Manage and prioritize product backlogs, balancing business priorities, technical dependencies, production support needs, and strategic initiatives.
• Facilitate Agile ceremonies including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives.
• Identify assumptions, risks, dependencies, constraints, and mitigation strategies throughout the product lifecycle.
• Support stakeholder communications, change management activities, training, and adoption of analytics products.
• Provide status updates, recommendations, and executive communications to Risk leadership and senior stakeholders.
• Assess opportunities for standardization, optimization, automation, and scalability across Risk reporting and analytics processes.

Data Analytics & Solution Delivery

• Design, develop, enhance, and maintain interactivePower BI dashboards and reports for operational, management, and executive audiences.
• Analyze, profile, and transform data from multiple internal and external sources to create scalable and reusable analytics datasets.
• Develop and optimize SQL queries, stored procedures, views, and data models to support reporting and analytics requirements.
• UtilizePython to automate data processing, reconciliation, validation, and reporting workflows.
• Perform detailed data analysis to identify patterns, trends, anomalies, and opportunities to support strategic decision-making.
• Conduct data integrity, quality, and reconciliation assessments to ensure reliability and accuracy of analytics products.
• Support the Risk Data Factory and enterprise data modernization initiatives by leveraging Azure-based technologies.
• Develop business rules, data mapping documentation, process flows, and data dictionaries.
• Support modernization and automation initiatives aimed at reducing manual reporting and increasing self-service analytics capabilities.
• Perform root cause analysis and provide ongoing support for production issues and product enhancements.

Technology & Data Platform Responsibilities

• Utilize MicrosoftAzure services including Azure Data Factory, Azure SQL Database, Synapse Analytics, Databricks, Unity Catalog, and Azure Storage Services.
• Collaborate with data engineers and technology teams to support data ingestion, transformation, curation, and operationalization activities.
• Support development of enterprise data assets and reporting solutions aligned with Risk data strategy.
• Ensure analytics products adhere to governance, security, and data management standards.

Required Skills

• 8 years of experience in data analytics, business intelligence, business analysis, product ownership, or related roles.
• Strong understanding ofAgile delivery methodologies and product management practices.
• Proven experience leading requirements gathering, stakeholder engagement, and backlog prioritization activities.
• Advanced experience withPower BI, including:

- Data Modeling - DAX Measures and Calculations - Power Query - Dashboard and Report Development - Performance Optimization

• Strong SQL skills with experience working with large and complex datasets.
• Proficiency inPython for data analysis and automation.
• Experience working with enterprise data environments and cloud-based analytics platforms.
• Strong analytical and problem-solving capabilities with the ability to connect business requirements to data solutions.
• Experience documenting business requirements, process flows, user stories, and data specifications.
• Excellent verbal, written, facilitation, and presentation skills.
• Ability to manage multiple priorities and work independently in a fast-paced environment.

Preferred Skills

• Experience in Financial Services, Banking, Enterprise Risk, Credit Risk, Market Risk, Regulatory Reporting, or Governance reporting.
• Strong understanding of risk management concepts, including credit risk, market risk, and risk reporting processes.
• Experience serving as Product Owner, Product Manager, Senior Business Analyst, or Delivery Lead in an Agile environment.
• Experience leading cross-functional change initiatives involving business and technology stakeholders.
• Knowledge of reference data, client hierarchies, data governance, and enterprise data management practices.
• Experience with Azure Data Factory, Synapse Analytics, Databricks, Unity Catalog, and modern cloud data platforms.
• Familiarity with Alteryx, Visio, Power Query, Power Pivot, and advanced Excel capabilities.
• Experience developing executive presentations, strategy papers, and leadership communications.
• MBA, Agile certification, CSPO, SAFe Product Owner/Product Manager, or equivalent experience considered an asset.

Education Requirements

• Undergraduate degree in Computer Science, Data Analytics, Mathematics, Statistics, Engineering, Economics, Business Analytics, Finance, or a related discipline.

Required Experience

• 8 years of experience in data analytics, business intelligence, business analysis, product ownership, or related roles.

Work Environment / Physical Requirements

• Approximately 50% of time spent in meetings with internal stakeholders only.
• Contractor will have access to customer data.
• No rotation required.
• No upcoming furlough expected; furlough could be waived to allow continued work if applicable.

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About the Client

This client is a leading organization in thefinancial services and banking industry, operating at enterprise scale across Canada and internationally. Employing thousands of professionals across technology, risk, analytics, and operations functions, the organization supports a broad range of financial services and maintains a strong focus on data modernization, risk governance, and regulatory compliance. Teams here include solutions developers, data analysts, product owners, business analysts, and technology specialists who collaborate in agile, fast-paced environments to deliver strategic outcomes across the enterprise.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-16295Industry: Data & Analytics

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